In this paper, we investigate a blind channel estimation method for Multi-carrier CDMA systems that use a subspace decomposition technique. This technique exploits the orthogonality property between the noise subspace and the received user codes to obtain channel of each user. In the past we used Singular Value Decomposition (SVD) technique but SVD have most computational complexity so in this paper use a new algorithm called URV Decomposition, which serve as an intermediary between the QR decomposition and SVD, replaced in SVD technique to track the noise space of the received data. Because of the URV decomposition has almost the same estimation performance as the SVD, but has less computational complexity
In this paper, a group-blind multiuser receiver is investigated for multicarrier code division multi...
Traditional subspace methods (SS) for blind channel identification require accurate rank estimation ...
Abstract In this paper, an adaptive semi-blind multiuser detection (MUD) algorithm based on improved...
The problem of channel estimation in code-division multiple-access systems is considered. Using only...
International audienceThis paper aims at studying a semi-blind channel estimation scheme based on th...
In this thesis, we present a systematic study of the subspace-based blind channel estimation method....
Impulse radio-based ultra-wideband (UWB) communication systems allow multiple users to access channe...
Abstract—In this paper we propose a linearly constrained minimum variance receiver for space-time co...
A new blind channel estimation technique is proposed for space-time coded wideband CDMA systems us...
Most recent efforts on blind channel estimation and interference suppression for CDMA systems have c...
This paper considers the problem of blind channel estimation of multi channel FIR filters. This is a...
This paper considers the problem of blind demodulation of multiuser information symbols in a direct-...
In this paper, a novel blind channel estimation algorithm for a multiple input multiple output (MIMO...
Multi-rate multicarrier DS-CDMA is a potentially attractive multiple access method for future broadb...
Journal PaperWe consider the estimation of channel parameters for code-division multiple access (CDM...
In this paper, a group-blind multiuser receiver is investigated for multicarrier code division multi...
Traditional subspace methods (SS) for blind channel identification require accurate rank estimation ...
Abstract In this paper, an adaptive semi-blind multiuser detection (MUD) algorithm based on improved...
The problem of channel estimation in code-division multiple-access systems is considered. Using only...
International audienceThis paper aims at studying a semi-blind channel estimation scheme based on th...
In this thesis, we present a systematic study of the subspace-based blind channel estimation method....
Impulse radio-based ultra-wideband (UWB) communication systems allow multiple users to access channe...
Abstract—In this paper we propose a linearly constrained minimum variance receiver for space-time co...
A new blind channel estimation technique is proposed for space-time coded wideband CDMA systems us...
Most recent efforts on blind channel estimation and interference suppression for CDMA systems have c...
This paper considers the problem of blind channel estimation of multi channel FIR filters. This is a...
This paper considers the problem of blind demodulation of multiuser information symbols in a direct-...
In this paper, a novel blind channel estimation algorithm for a multiple input multiple output (MIMO...
Multi-rate multicarrier DS-CDMA is a potentially attractive multiple access method for future broadb...
Journal PaperWe consider the estimation of channel parameters for code-division multiple access (CDM...
In this paper, a group-blind multiuser receiver is investigated for multicarrier code division multi...
Traditional subspace methods (SS) for blind channel identification require accurate rank estimation ...
Abstract In this paper, an adaptive semi-blind multiuser detection (MUD) algorithm based on improved...